Diffseg30k

🖼️ DiffSeg30k — A multi-turn diffusion-editing dataset for localized AIGC detection A dataset for segmenting diffusion-based edits — ideal for training and evaluating models that localize edited regions and identify the underlying diffusion model, as presented in the paper DiffSeg30k: A Multi-Turn Diffusion Editing Benchmark for Localized AIGC Detection. 📁 Dataset Usage xxxxxxxx.image.png: Edited images. Each image may have undergone 1, 2, or 3 editing… See the full description on the dataset page:

Source: Hugging Face Hub (Chaos2629/Diffseg30k). Metadata imported from the dataset’s Hub tags.